摘要
针对老年人出行行为影响因素研究的不足,基于昆明城市老年人出行问卷调查,以样本个人和家庭属性作为外因潜变量,以出行目的、出发时刻、出行方式、出行强度作为内因潜变量,构建结构方程模型.通过计算老年人出行行为特征参数间的关系,分析出发时刻与出行方式、出行方式与出行强度以及观察变量间的相互影响.研究表明,有别于通勤者属性是出行行为的关键影响因素,城市老年人休闲、购物等活动特征是出行方式、距离、频率和持续时间的主要影响因素.
To remove the defect of the elderly travel behavior influencing factors research,a structural equation model is built based on the data of the elderly travel questionnaire survey in Kunming.The model takes the personal and family attributes of sample as the exogenous latent variables,while trip purpose,departure time,trip mode,and travel intensity are taken as the endogenous latent variables.The mutual impact between departure time and travel mode,as well as the interaction among travel mode,travel intensity and observed variables are analyzed through calculating the relationship among the elderly travel behavior characteristic parameters.The result shows that the elderly travel behavior is different from the commuters.Leisure,shopping and other activities of urban elderly are main influencing factors of trip mode,travel distance,trip times and activity duration.
出处
《昆明理工大学学报(自然科学版)》
CAS
2015年第4期38-45,共8页
Journal of Kunming University of Science and Technology(Natural Science)
基金
国家自然科学基金项目(51168023
E080701)
关键词
城市老年人
活动特征
出行行为
影响因素
结构方程
urban elderly
activity characteristics
travel behavior
influencing factor
structural equation model